Hägerstrand meets big data: time-geography in the age of mobility analytics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10109-023-00421-0.pdf
Reference47 articles.
1. Arias-Molinares D, García-Palomares JC, Romanillos G, Gutierrez Puebla J (2023) Uncovering spatiotemporal micromobility patterns through the lens of space–time cubes and GIS tools. J Geogr Syst. https://doi.org/10.1007/s10109-023-00418-9
2. Brum-Bastos V, Łoś M, Long JA, Nelson T, Demšar U (2022) Context-aware movement analysis in ecology: a systematic review. Int J Geogr Inf Sci 36(2):405–427. https://doi.org/10.1080/13658816.2021.1962528
3. Brunsdon C, Comber A (2021) Opening practice: supporting reproducibility and critical spatial data science. J Geogr Syst 23(4):477–496. https://doi.org/10.1007/s10109-020-00334-2
4. Cagnacci F, Boitani L, Powell RA, Boyce MS (2010) Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges. Philos Trans R Soc B Bio Sci 365(1550):2157–2162. https://doi.org/10.1098/rstb.2010.01070107
5. Canales J (2018) Navigating the history of GPS. Nat Electron 1(12):610–611. https://doi.org/10.1038/s41928-018-0187-9
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